Data risk intelligence refers to the process of gathering, analysing, and interpreting data-related information to identify and mitigate potential risks to an organisation's data assets.
It involves understanding the vulnerabilities, threats, and potential impact associated with data breaches, leaks, unauthorised access, and other data-related incidents. Data risk intelligence enables organisations to make informed decisions, implement appropriate security measures, and proactively protect their sensitive information and digital assets from various cyber threats and vulnerabilities.
Providing comprehensive methods to prevent unauthorised access to your personal data.
Safeguarding your information from potential cyber theft is our priority
Data Risk Intelligence
Solutions
What is your data, Where it is stored.
Uncover Critical Information
Looking at the context of a file like a human
AI-Driven Content Recognition
Is your data at risk?
Gain Granular Understanding
Cognni’s intelligence integrates seamlessly with Microsoft Information Protection (MIP) to automate your classification and protection
Seamless Microsoft Purview Integration
Cognni is an autonomous, AI-powered platform designed to address the challenges posed by lack of classified data or generic file labels in MS365. By leveraging cognitive machine learning, it comprehensively maps your MS365 information, gaining a deeper understanding of its context. This enables the automation of Purview information protection (MIP labelling) for data at rest and in-motion, ensuring accurate and context-rich file labelling.
Additionally, the platform automatically compiles and aggregates user-data events, extracting valuable risk exposure insights from user-data interactions.
Cognni
SABASAI's Data Risk Intelligence combines regulatory pressures, evolving technology landscapes, data breaches, and the imperative to safeguard valuable data assets in a rapidly changing digital world trigger the requirement for solutions.
With over 20 years of accumulated knowledge in both human behaviour and IT security, SABASAI brings a unique blend of insights to identify and mitigate user-related risks effectively.
Operating in the Australia-New Zealand (A-NZ) region for over a decade, SABASAI has established itself as a trusted authority in user risk intelligence, serving the federal sector, financial institutions, and enterprises.
By gaining a deeper understanding of the context of MS365 data through cognitive machine learning, the solution provides a more holistic perspective on data. This leads to more accurate labelling and better decision-making regarding data handling and protection.
Benefits and Differentiations
Problems and Triggers
Increasingly strict data protection regulations (e.g., GDPR, HIPAA) necessitate a deeper understanding of data risks to ensure compliance and avoid penalties.
Growing Regulatory Demands
01
Concerns about both intentional and unintentional insider threats drive the need to monitor user activities and behaviours for potential risks.
Rising Insider Threats
02
The proliferation of remote work increases data access points, requiring organizations to gain visibility into user behaviours and potential risks across various locations.
Remote Workforce
03
Growing consumer and regulatory concerns about data privacy emphasise the need for robust data risk management to prevent data leaks and breaches.
Data Privacy Concerns
04
Difficulties in understanding where data is stored, who has access, and the context of data use underline the need for improved risk visibility.
Data Mapping Challenges
05
